The graph represents a network of 6,393 Twitter users whose tweets in the requested range contained "Energy (Clean OR renewable OR green)", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Wednesday, 25 December 2019 at 02:23 UTC.
The requested start date was Wednesday, 25 December 2019 at 01:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 1-day, 5-hour, 25-minute period from Monday, 23 December 2019 at 08:17 UTC to Tuesday, 24 December 2019 at 13:42 UTC.
Additional tweets that were mentioned in this data set were also collected from prior time periods. These tweets may expand the complete time period of the data.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, and a self-loop edge for each tweet that is not a "replies-to" or "mentions".
The graph is directed.
The graph's vertices were grouped by cluster using the Clauset-Newman-Moore cluster algorithm.
The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Author Description
Vertices : 6393
Unique Edges : 7490
Edges With Duplicates : 1835
Total Edges : 9325
Number of Edge Types : 4
MentionsInRetweet : 4520
Tweet : 1377
Replies to : 630
Mentions : 2798
Self-Loops : 1377
Reciprocated Vertex Pair Ratio : 0.0133159646837458
Reciprocated Edge Ratio : 0.02628195972004
Connected Components : 1316
Single-Vertex Connected Components : 628
Maximum Vertices in a Connected Component : 2698
Maximum Edges in a Connected Component : 5063
Maximum Geodesic Distance (Diameter) : 21
Average Geodesic Distance : 8.101663
Graph Density : 0.00017132415832633
Modularity : 0.771374
NodeXL Version : 1.0.1.422
Data Import : The graph represents a network of 6,393 Twitter users whose tweets in the requested range contained "Energy (Clean OR renewable OR green)", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Wednesday, 25 December 2019 at 02:23 UTC.
The requested start date was Wednesday, 25 December 2019 at 01:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 1-day, 5-hour, 25-minute period from Monday, 23 December 2019 at 08:17 UTC to Tuesday, 24 December 2019 at 13:42 UTC.
Additional tweets that were mentioned in this data set were also collected from prior time periods. These tweets may expand the complete time period of the data.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, and a self-loop edge for each tweet that is not a "replies-to" or "mentions".
Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : GraphServerTwitterSearch
Graph Term : Energy (Clean OR renewable OR green)
Groups : The graph's vertices were grouped by cluster using the Clauset-Newman-Moore cluster algorithm.
Edge Color : Edge Weight
Edge Width : Edge Weight
Edge Alpha : Edge Weight
Vertex Radius : Betweenness Centrality
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[1207] renewable,energy [1166] clean,energy [368] green,energy [305] power,prices [234] south,australia [219] lowest,power [211] energy,shift [211] shift,brings [210] brings,lowest [208] australia,clean Top Word Pairs in Tweet in G1:
[255] renewable,energy [118] clean,energy [59] green,energy [19] energy,solutions [18] never,understood [17] wind,energy [15] solar,power [15] support,#act4impact [15] #act4impact,campaign [15] campaign,cleaner Top Word Pairs in Tweet in G2:
[43] tipping,point [41] renewable,energy [33] 2019,tipping [33] sites,report [32] clean,energy [31] projects,mine [31] mine,sites [29] solar,energy [28] 100,wind [27] wind,water Top Word Pairs in Tweet in G3:
[35] 3ghtweets,curryja [35] curryja,seachangers74 [35] seachangers74,julianburnside [34] dawntj90,bjames280961 [34] bjames280961,nikolovscience [34] nikolovscience,3ghtweets [27] tafkao,whut [22] julianburnside,tony__he [19] whut,ecosensenow [19] ecosensenow,dawntj90 Top Word Pairs in Tweet in G4:
[85] renewable,energy [22] driven,sharp [22] sharp,cost [22] cost,reductions [22] reductions,combined [22] combined,growing [22] growing,calls [22] calls,sustainability [22] sustainability,investors [22] investors,consumers Top Word Pairs in Tweet in G5:
[32] clean,energy [25] renewable,energy [23] green,energy [16] green,deal [14] windmills,clean [12] sources,energy [11] deal,requires [11] requires,declare [11] declare,war [11] war,traditional Top Word Pairs in Tweet in G6:
[181] liberal,tears [181] clean,energy [180] donald,trump [180] trump,proposes [180] proposes,harnessing [180] harnessing,liberal [180] tears,provide [180] provide,clean [177] thebabylonbee,donald [2] energy,thebabylonbee Top Word Pairs in Tweet in G7:
[95] power,prices [72] sorry,burst [72] burst,yr [72] yr,bubble [72] bubble,close [72] close,chrissy [72] chrissy,saying [72] saying,sa's [72] sa's,power [72] prices,reliability Top Word Pairs in Tweet in G8:
[92] clean,energy [89] poverty,hunger [89] hunger,health [89] health,education [89] education,gender [89] gender,equality [89] equality,water [89] water,sanitation [89] sanitation,clean [89] energy,economies Top Word Pairs in Tweet in G9:
[38] renewable,energy [22] clean,energy [12] australia,clean [12] energy,shift [12] shift,brings [12] brings,lowest [12] lowest,power [12] power,prices [12] prices,national [12] national,grid Top Word Pairs in Tweet in G10:
[91] south,australia [91] clean,energy [90] lowest,power [90] power,prices [80] australia,clean [80] energy,shift [80] shift,brings [79] brings,lowest [69] prices,national [69] national,grid Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G9:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
Top Mentioned in G5:
Top Mentioned in G6:
Top Mentioned in G7:
Top Mentioned in G8:
Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
Top Tweeters in G3:
Top Tweeters in G4:
Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: